MFCC - Mel-Frequency Cepstral Coefficients
MFCC, or Mel-Frequency Cepstral Coefficients, represent one of the fundamental features in speech signal processing that effectively models human auditory perception. The computational pipeline involves preprocessing, windowing, Fourier transformation, power spectrum calculation, natural logarithm application, and discrete cosine transform (DCT). The MATLAB implementation leverages a speech processing toolbox available for online download, with key functions including frame segmentation, FFT operations, and Mel-filterbank integration.